Counter-fitting Word Vectors to Linguistic Constraints

2 March 2016

Papers citing "Counter-fitting Word Vectors to Linguistic Constraints"

50 / 78 papers shown

Title
Confidence Elicitation: A New Attack Vector for Large Language Models Brian Formento Chuan-Sheng Foo See-Kiong Ng AAML 101 0 0 07 Feb 2025
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 230 2 0 30 Oct 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Hassan Sajjad Sanjay Chawla AAML 48 0 0 27 May 2024
Towards Effective Paraphrasing for Information Disguise Anmol Agarwal Shrey Gupta Vamshi Krishna Bonagiri Manas Gaur Joseph M. Reagle Ponnurangam Kumaraguru 43 3 0 08 Nov 2023
Robustifying Language Models with Test-Time Adaptation Noah T. McDermott Junfeng Yang Chengzhi Mao 24 2 0 29 Oct 2023
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning Sapan Shah Sreedhar Reddy Pushpak Bhattacharyya 18 0 0 29 Oct 2023
Word Embedding with Neural Probabilistic Prior Shaogang Ren Dingcheng Li P. Li BDL 27 0 0 21 Sep 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack HaiXiang Zhu Zhaoqing Yang Weiwei Shang Yuren Wu AAML FAtt 10 3 0 01 Aug 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 34 1 0 05 Jul 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data Xinzhe Li Ming Liu Shang Gao MU 45 8 0 02 Jul 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making Xuanjie Fang Sijie Cheng Yang Liu Wen Wang AAML 42 9 0 27 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text Ashim Gupta Carter Blum Temma Choji Yingjie Fei Shalin S Shah Alakananda Vempala Vivek Srikumar AAML 32 9 0 25 May 2023
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance Kaushik Roy Manas Gaur Misagh Soltani Vipula Rawte Ashwin Kalyan Amit P. Sheth AI4MH 38 27 0 13 May 2023
Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching Jiayi Yuan Ruixiang Tang Xiaoqian Jiang Xia Hu LM&MA 29 38 0 24 Mar 2023
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation Xinyu Pi Bin Wang Yan Gao Jiaqi Guo Zhoujun Li Jian-Guang Lou LMTD 30 30 0 20 Dec 2022
Human-in-the-Loop Hate Speech Classification in a Multilingual Context Ana Kotarcic Dominik Hangartner Fabrizio Gilardi Selina Kurer K. Donnay 24 2 0 05 Dec 2022
Impact of Adversarial Training on Robustness and Generalizability of Language Models Enes Altinisik Hassan Sajjad Husrev Taha Sencar Safa Messaoud Sanjay Chawla AAML 24 8 0 10 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 27 17 0 05 Nov 2022
Emergent Linguistic Structures in Neural Networks are Fragile Emanuele La Malfa Matthew Wicker Marta Kiatkowska 22 1 0 31 Oct 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack Yu Cao Dianqi Li Meng Fang Dinesh Manocha Jun Gao Yibing Zhan Dacheng Tao AAML 26 15 0 27 Oct 2022
Identifying Human Strategies for Generating Word-Level Adversarial Examples Maximilian Mozes Bennett Kleinberg Lewis D. Griffin AAML 33 1 0 20 Oct 2022
Deepfake Text Detection: Limitations and Opportunities Jiameng Pu Zain Sarwar Sifat Muhammad Abdullah A. Rehman Yoonjin Kim P. Bhattacharya M. Javed Bimal Viswanath AAML 24 54 0 17 Oct 2022
Synonym Detection Using Syntactic Dependency And Neural Embeddings Dongqiang Yang Pikun Wang Xiaodong Sun Ningxi Li NAI 22 1 0 30 Sep 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search Huijun Liu Jie Yu Shasha Li Jun Ma Bin Ji AAML 38 1 0 17 Aug 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao ZhuoSheng Zhang Hai Zhao AAML SILM 28 11 0 21 Jul 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 35 20 0 07 Jun 2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training Gi-Cheon Kang Sungdong Kim Jin-Hwa Kim Donghyun Kwak Byoung-Tak Zhang 32 10 0 25 May 2022
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence Myeongjun Jang Frank Mtumbuka Thomas Lukasiewicz 36 9 0 08 May 2022
A Simple Yet Efficient Method for Adversarial Word-Substitute Attack Tianle Li Yi Yang AAML 29 0 0 07 May 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 24 6 0 29 Apr 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen Yangfeng Ji OOD AAML VLM 34 21 0 23 Mar 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model Jiayi Wang Rongzhou Bao ZhuoSheng Zhang Hai Zhao AAML 29 4 0 19 Mar 2022
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation Kiyoon Yoo Jangho Kim Jiho Jang Nojun Kwak 24 39 0 03 Mar 2022
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces Volodymyr Kuleshov Evgenii Nikishin S. Thakoor Tingfung Lau Stefano Ermon AAML 27 1 0 12 Dec 2021
Triggerless Backdoor Attack for NLP Tasks with Clean Labels Leilei Gan Jiwei Li Tianwei Zhang Xiaoya Li Yuxian Meng Fei Wu Yi Yang Shangwei Guo Chun Fan AAML SILM 27 74 0 15 Nov 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 2021
A Survey On Neural Word Embeddings Erhan Sezerer Selma Tekir AI4TS 26 12 0 05 Oct 2021
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification J. Hauser Zhao Meng Damian Pascual Roger Wattenhofer OOD SILM AAML 193 14 0 15 Sep 2021
Detecting Textual Adversarial Examples through Randomized Substitution and Vote Xiaosen Wang Yifeng Xiong Kun He AAML 27 11 0 13 Sep 2021
A Strong Baseline for Query Efficient Attacks in a Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 30 30 0 10 Sep 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Xiaoqing Zheng Qi Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 8 74 0 29 Aug 2021
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification Junghoon Lee Jounghee Kim Pilsung Kang VLM 16 5 0 22 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 38 336 0 07 Jul 2021
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation Anish Acharya Rudrajit Das 18 0 0 07 Jul 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 25 196 0 22 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 16 53 0 22 Mar 2021
Generating Natural Language Attacks in a Hard Label Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 30 103 0 29 Dec 2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks Alex Mathai Shreya Khare Srikanth G. Tamilselvam Senthil Mani AAML 36 6 0 08 Nov 2020
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method Nicole Peinelt Marek Rei Maria Liakata 30 2 0 23 Oct 2020
Assessing Robustness of Text Classification through Maximal Safe Radius Computation Emanuele La Malfa Min Wu Luca Laurenti Benjie Wang Anthony Hartshorn Marta Z. Kwiatkowska AAML 20 18 0 01 Oct 2020